晶格博客bob88体育登陆

为了降低工业，消费者和计算应用中的整体系统规模和BOM成本。bobappios下载地址

Low power Lattice FPGAs can enable new AI-powered laptops that improve productivity, security, battery life, and enable compelling new form factors.

阅读Lattice的最新消费者新闻：增强的Sensai堆栈启用更准确，较低的电力边缘解决方案，免费网络研讨会探索低功率AI设计，交叉链接FPGA简化了嵌入式视觉的使用

bob投注软件Lattice半导体赞助了Microsoft Sensors Hack，这是2019年较大的黑客马拉松活动的一部分，Microsoft团队使用Lattice Sensai Solutions stack for Smart Vision Systems为AI和传感器创建潜在的用例。

阅读Lattice：Lattice Sensai的最新消费者新闻，为Edge带来更多的性能，Radiant IP和参考设计，Embedded Vision Summit的演示视频，行业奖和Sensai的新闻报道

如果您错过了2019年嵌入式视觉峰会，请查看lattice的最新Sensai演示，并查看Smart Vision可以在Edge设备中启用什么

A year ago we launched the Lattice sensAI solutions stack. Since then, the need for AI at the Edge has continued to grow. Consider this statistic from Tractica: by 2025 the market for Edge-based AI chipsets is forecasted to hit $51.6 billion (that’s over three times their forecasted revenues for cloud-based AI chips). Why all the interest in chips that support AI at the Edge?

How often is low power the determining factor for success? Certainly when designing solutions for AI inferencing in always-on edge devices, the power consumption must be measurable in milliwatts. Think about it: AI at the edge solves real world problems, and is – or very soon will be – everywhere.

很快，大多数房屋都会有Siri，Alexa，Google Home或类似的房屋。许多已经有三个。接受这种复杂的AI系统作为客厅的日常正常补充，这对人类的状况有很多想象，概念化，创新，尝试...

The complexity of implementing intelligent Edge solutions is causing many issues for designers, including accommodating devices with new and legacy interfaces in a variety of applications. Some of these applications also require compute engines capable of processing data collected at low power and cost.